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Predictions Assigned Grades And Outcomes
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Book Synopsis Predictions, Assigned Grades, and Outcomes by : Amy Cooper Rogers
Download or read book Predictions, Assigned Grades, and Outcomes written by Amy Cooper Rogers and published by . This book was released on 2011 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study analyzed relationships between teachers' ability to predict proficiency levels on standardized end-of-grade tests for grades three through eight in reading and mathematics relative to students' actual proficiency levels. This study also analyzed relationships between teacher-assigned grades in reading and mathematics for grades three through eight relative to student's actual proficiency levels. The research was conducted using state assessment data reports for an eastern North Carolina school district, a midsize district with over 17,000 students and 900 teachers. Data were organized into tables for examining relationships of teacher predictions and teacher-assigned grades to student achievement qualitatively through descriptive analysis. The Fisher's exact test was applied as the statistic of analysis for examining teacher predictions of proficiency and non-proficiency with actual student achievement. The Fisher's exact test was also applied as the statistic of analysis for examining teacher-assigned grades with actual student achievement. Results of this study determined the pattern of predictions more closely aligned to actual scores on Proficiency Level III in both reading and mathematics. The Fisher's exact test showed a statistically significant relationship exists between teacher prediction and actual student proficiency level. Twenty percent of students failed the reading test and 9% failed the mathematics test, even though their teachers had predicted they would pass with a Level III or IV. In both reading and mathematics, teachers in grade span 3-5 show a closer prediction to the actual achievement level obtained by the students than in grade span 6-8. More results determined misalignment in grading. In reading, of students with a C average, 56% were non-proficient on the end-of-grade assessment. In mathematics, of students with a C average, 30% were non-proficient, and of students with a D average, 56% were proficient on the end-of-grade assessment. In both reading and mathematics in grade span 3-5 the teacher-assigned grades in the A-B-C group showed a higher percentage in the proficient category at more levels than in grade span 6-8. Recognizing misalignment in teacher prediction and student achievement provides the foundation for an educational discussion regarding effective teaching practices and the ability of teachers to provide immediate intervention and support.
Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado
Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Book Synopsis Predicting Student Performance Using Data from an Auto-grading System by : Huanyi Chen
Download or read book Predicting Student Performance Using Data from an Auto-grading System written by Huanyi Chen and published by . This book was released on 2018 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: As online auto-grading systems appear, information obtained from those systems can potentially enable the researchers to create predictive models to predict student behaviour and performances. In University of Waterloo, the ECE150 (Introductory Programming) Instructional Team wants insights into how to best allocate their limited teaching resources, especially individual tutoring, to achieve improved educational outcomes. However, currently, the Instructional Team allocates tutoring time in a reactive basis. They help students ''as-requested''. This approach serves those students with the wherewithal to request help, but many of the students who are struggling do not reach out for assistance. In ECE150 of year 2016, the Instructional Team had a hypothesis that the assignment grades may not be an accurate predictor of students' performance. Instead, they had another hypothesis that a behaviour analysis of student performance might be able to identify students for proactive intervention. Therefore, we, as the Research Team, want to explore what can be inferred from the students' behaviour, such as how frequently they submit, how early they submit for the first time, from the auto-grading data that can potentially allow us to identify students who need help. However, given the changing nature of the setup of auto-grading systems (for example, assignment content might be different from year to year), it is more important for us to explore the data and get insights, rather than trying to create a precise predictive model. 1. If we put students into categories according to their final exam and midterm performances, can we create a model over the auto-grading data to understand the students' behaviour and predict those categories? More importantly, to predict the students who need help and identify them as early as possible. 2. Can we predict students' raw numerical midterm grades and raw final exam grades from the students' behaviour? 3. Can we find any interesting relations between the features generated (reflecting students' behaviour) from auto-grading system information, grades and student categories? In our experiments, we generated different type of features based on the raw data we collected from the Marmoset of 428 first-year students in ECE150 of year 2016, such as the passing rate for each programming task, the testcase outcomes, the number of submissions, the lab attendance and the time interval of submissions. The experiments for those features are our first step for exploring the auto-grading data. However, we mentioned more features which are reasonable for conducting experiments in the thesis and future experiments will be conducted for them. We applied a decision-tree algorithm to all above features and a linear regression algorithm to the time intervals feature to predict the students' grades on their midterm and final exam. In all experiments, we split the data into training set and testing set. The training set was balanced by applying Synthetic Minority Oversampling Technique (SMOTE). For regression, we used the time interval between the student's first reasonable submission and the deadline as the feature, and applied linear regression algorithm to predict the exam grades. The results showed that for the midterm, the mean of difference between predicted midterm grades and actual midterm grades (maximum is 110 points) is -5.76 points and the standard deviation is 16.44 points. For the final exam, the mean of difference between predicted final exam grades and actual final exam grades (maximum is 120 points) is 0.92 points and the standard deviation is 17.12 points. In order to stabilize the residual variance, power transformation was applied. For classification, students were divided into three categories according to their midterm and final exam grades: good-performance students, satisfactory-performance students, and poor-performance students, and we used C4.5 decision tree algorithm to classify students. In order to take the regression model into comparison, we used the predicted midterm and final exam grades to create predicted categories for regression method. The results showed that for both midterm and final exam, the regression model using the time interval between the student's first reasonable submission and the deadline gave us the best Precision and F-measure for predicting which students would perform poorly on the exams. During the experiments, we found for predicting raw midterm grades or raw final exam grades, the time interval information from the assignment assigned right before the midterm exam or the final exam was most correlated with the midterm grades or final exam grades; however, if we considered midterm grades for the final exam, we found the correlation of the midterm grades was greater than the correlation of all assignments. The experiment results show that the linear regression model using submission time interval performs better than other models and further researching on this might be the best next step. However, since this is only a preliminary auto-grading data exploratory study, we can only get limited insight from the data and features. Future work will include performing additional experiments on combining different features to explore the data and as we collect more data, we can reach more definitive conclusions.
Book Synopsis Assigning Grades to Students by : James S. Terwilliger
Download or read book Assigning Grades to Students written by James S. Terwilliger and published by . This book was released on 1971 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Enhanced Expert Systems by : Petrică Vizureanu
Download or read book Enhanced Expert Systems written by Petrică Vizureanu and published by BoD – Books on Demand. This book was released on 2019-09-18 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theoretical approach of this book is to develop a primary survey of the knowledge representation model, providing convergence of classical operations research and modern knowledge engineering. This convergence creates new opportunities for complicated problems of formalization and solution by integrating the best features of mathematical programming or constraint programming. This book explains in six chapters that expert systems are products in the field of computer science that attempt to perform as intelligent software. What is outstanding for expert systems is the applicability area and the solving of different problems in many fields or industrial branches.
Book Synopsis Unlocking the Power of Teacher Feedback by : Lan Yang
Download or read book Unlocking the Power of Teacher Feedback written by Lan Yang and published by Taylor & Francis. This book was released on 2024-02-15 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses the pivotal role of feedback in enhancing students' motivation and learning. Through a series of innovative studies, it uncovers the intricacies of how students perceive and utilize feedback, offering practical strategies for educators while bridging the gap between feedback research and classroom practice. The book showcases six outstanding studies that offer unique insights into how teacher feedback influences student learning and achievement, all from the perspectives of students. Chapters delve into various meaningful explorations of the paramount role of feedback in education, offering readers profound insights into its pivotal significance, the nuanced ways students respond to it, and the intricate mechanisms governing its influence on student achievement and engagement. The volume uncovers key mediators such as growth-oriented goals, feedback beliefs, and school identification, shedding light on how these factors shape the impact of feedback. It also introduces practical strategies, like rebuttal writing, and emphasizes the need for personalized feedback aligned with students' cognitive styles. Additionally, the book provides a comprehensive comparison across grades and feedback comments, all while serving as a practical guide for educators, researchers, and policymakers, thereby facilitating the implementation of evidence-based feedback practices grounded in students' voices and perspectives, ultimately enriching their learning. This book will be a key resource for researchers and academics in educational psychology, student learning, and assessment, while also appealing to educators, teachers, school administrators and policymakers seeking to enhance their understanding of feedback's role in education and to improve their feedback practices. It was originally published in Educational Psychology.
Book Synopsis Social Science Research Design and Statistics by : Alfred P. Rovai
Download or read book Social Science Research Design and Statistics written by Alfred P. Rovai and published by Watertree Press LLC. This book was released on 2013-09-01 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. This expanded second edition also features companion website materials including copies of the IBM SPSS datasets used to create the SPSS output presented in the book, and Microsoft PowerPoint presentations that display step-by-step instructions on how to run popular SPSS procedures. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.
Book Synopsis Perspectives on Learning Analytics for Maximizing Student Outcomes by : Durak, Gürhan
Download or read book Perspectives on Learning Analytics for Maximizing Student Outcomes written by Durak, Gürhan and published by IGI Global. This book was released on 2023-10-24 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximizing student outcomes in education presents a significant challenge, as traditional assessment methods often fall short in providing actionable insights for improvement. Perspectives on Learning Analytics for Maximizing Student Outcomes addresses this challenge by offering a comprehensive solution. Edited by esteemed scholars Gürhan Durak and Serkan Çankaya, this book provides innovative knowledge and practical experiences on emerging technologies and processes in learning analytics. It covers topics such as data collection, visualization, predictive analytics, and ethical considerations, serving as a guide for academic scholars, technology enthusiasts, and educational institutions. This book empowers professionals and researchers to leverage learning analytics effectively, enabling data-informed decision-making, improved teaching practices, and tailored educational programs. By presenting best practices and future directions, it equips readers with the necessary tools to optimize learning environments and drive student success. With a focus on the transformative potential of learning analytics, this book propels education toward a more efficient and effective system that prioritizes student outcomes.
Book Synopsis Grades and Data Driven Decision Making by : Alex Jon Bowers
Download or read book Grades and Data Driven Decision Making written by Alex Jon Bowers and published by . This book was released on 2007 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence for Data Science in Theory and Practice by : Mohamed Alloghani
Download or read book Artificial Intelligence for Data Science in Theory and Practice written by Mohamed Alloghani and published by Springer Nature. This book was released on 2022-04-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Download or read book Wemberly Worried written by Kevin Henkes and published by Harper Collins. This book was released on 2000-07-25 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wemberly worried about everything. Big things. Little things. And things in between. Then it was time for school to start.And Wemberly worried even more. If you ever worry (or know someone who does), this is the book for you.
Book Synopsis The Impact of Family Background and Intelligence on Tenth-grade Boys by : Jerald G. Bachman
Download or read book The Impact of Family Background and Intelligence on Tenth-grade Boys written by Jerald G. Bachman and published by . This book was released on 1970 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intermediate Statistical Investigations by : Nathan Tintle
Download or read book Intermediate Statistical Investigations written by Nathan Tintle and published by John Wiley & Sons. This book was released on 2020-09-09 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intermediate Statistical Investigations provides a unified framework for explaining variation across study designs and variable types, helping students increase their statistical literacy and appreciate the indispensable role of statistics in scientific research. Requiring only a single introductory statistics course as a prerequisite, the program uses the immersive, simulation-based inference approach for which the author team is known.Students engage with various aspects of data collection and analysis using real examples and clear explanations designed to strengthen multivariable understanding and reinforce first-course concepts. Each chapter contains in-depth exercises which follow a consistent six-step statistical exploration and investigation method (ask a research question, design a study, explore the data, draw inferences, formulate conclusions, and look back and ahead) enabling students to assess a variety of concepts in a single assignment. Challenging questions based on research articles strengthen critical reading skills, fully worked examples demonstrate essential concepts and methods, and engaging visualizations illustrate key themes of explained variation. End-of-chapter investigations use real data from popular culture and published research studies in a variety of disciplines, exposing students to various applications of statistics in the real world. Throughout the text, user-friendly Rossman Chance web applets allow students to conduct the simulations and analyses covered in the book.
Author :United States. Congress. House. Committee on Education and Labor. Subcommittee on Human Resources Publisher : ISBN 13 : Total Pages :264 pages Book Rating :4.3/5 (91 download)
Book Synopsis Oversight on Head Start, lasting effects by : United States. Congress. House. Committee on Education and Labor. Subcommittee on Human Resources
Download or read book Oversight on Head Start, lasting effects written by United States. Congress. House. Committee on Education and Labor. Subcommittee on Human Resources and published by . This book was released on 1980 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Classroom Assessment and Educational Measurement by : Susan M. Brookhart
Download or read book Classroom Assessment and Educational Measurement written by Susan M. Brookhart and published by Routledge. This book was released on 2019-07-04 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classroom Assessment and Educational Measurement explores the ways in which the theory and practice of both educational measurement and the assessment of student learning in classroom settings mutually inform one another. Chapters by assessment and measurement experts consider the nature of classroom assessment information, from student achievement to affective and socio-emotional attributes; how teachers interpret and work with assessment results; and emerging issues in assessment such as digital technologies and diversity/inclusion. This book uniquely considers the limitations of applying large-scale educational measurement theory to classroom assessment and the adaptations necessary to make this transfer useful. Researchers, graduate students, industry professionals, and policymakers will come away with an essential understanding of how the classroom assessment context is essential to broadening contemporary educational measurement perspectives. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Book Synopsis Impact of Academic Performance Pattern on Predicted Performance and Assigned Grade by : Kathryn Mary Ryan
Download or read book Impact of Academic Performance Pattern on Predicted Performance and Assigned Grade written by Kathryn Mary Ryan and published by . This book was released on 1978 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Impact of Learning Analytics on Curriculum Design and Student Performance by : Kumar Singh, Manoj
Download or read book Impact of Learning Analytics on Curriculum Design and Student Performance written by Kumar Singh, Manoj and published by IGI Global. This book was released on 2018-02-02 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of students’ learning experiences is a critical concern for all educational institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Impact of Learning Analytics on Curriculum Design and Student Performance is a critical scholarly resource that examines the connection between learning analytics and evaluations and their impact on curriculum design and student performance in educational institutions. Featuring coverage on a broad range of topics, such as academic support, large scale assessment, and educational research methods, this book is geared towards educators, professionals, school administrators, researchers, and practitioners in the field of education.
